{"id":"W6924417014","doi":"10.15468/dl.ryjzdp","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); State (computer science); Confidentiality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009980524,0.002046332,0.001565694,0.004789445,0.001038113,0.002579877,0.002920167,0.002217366,0.1545337],"category_scores_gemma":[0.005895399,0.0009267764,0.001181136,0.009228669,0.000469462,0.002511124,0.002573103,0.002151241,0.2191361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161208,"about_ca_system_score_gemma":0.002292031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02053659,"about_ca_topic_score_gemma":0.03574452,"domain_scores_codex":[0.9989215,0.0001567115,0.0001325131,0.0003852166,0.0002296228,0.0001744196],"domain_scores_gemma":[0.9973754,0.0007450639,0.0002383828,0.0007168627,0.0006276168,0.0002967271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002683658,0.00001174191,0.0003313681,0.0004600379,0.00001317559,0.00001382505,0.00002151013,0.0001244548,0.00009971806,0.0003681887,0.9973273,0.001201832],"study_design_scores_gemma":[0.00007378576,0.000008146534,0.001663803,0.0001722214,0.00001321797,0.00003628423,0.00007301569,0.0001676306,0.0001789821,0.0008607849,0.9967338,0.00001817308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004168996,0.00002516226,0.00004735703,0.00003851649,0.00001273212,0.000005462435,0.9987885,0.0003847123,0.0006558111],"genre_scores_gemma":[0.0001597157,0.00002980431,0.0002010124,0.00004647146,0.000003583607,0.00004187726,0.9989059,0.000146195,0.000465486],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8454663,"threshold_uncertainty_score":0.5169667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}